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Multi-Concept Alignment and Evaluation

by: Shenghui Wang, Antoine Isaac, Lourens Van der Meij, and Stefan Schlobach

In: Proceedings of the Workshop on Ontology Matching OM2007 at ISWC/ASWC2007, Busan, South Korea (November 2007) .

Abstract

In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures Jaccard and LSA to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.

BibTeX record

@inproceedings{Wang/2007/Multi-Concept,
  abstract = {In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.},
  added-at = {2007-11-07T19:19:06.000+0100},
  author = {Wang, Shenghui and Isaac, Antoine and der Meij, Lourens Van and Schlobach, Stefan},
  biburl = {http://www.bibsonomy.org/bibtex/251df320eb9dd128fd3c7f0867b61bc23/iswc2007},
  booktitle = {Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea},
  crossref = {http://data.semanticweb.org/workshop/om/2007/proceedings},
  editor = {Shvaiko, Pavel and Euzenat, Jérôme and Giunchiglia, Fausto and He, Bin},
  interhash = {8d8cfe04dc8dd3cebea6eec016aecd80},
  intrahash = {51df320eb9dd128fd3c7f0867b61bc23},
  keywords = {2007 alignment evaluation iswc multi-concept workshop_om},
  month = {November},
  timestamp = {2007-11-07T19:19:06.000+0100},
  title = {Multi-Concept Alignment and Evaluation},
  year = 2007
}

Endnote record

%0 Conference Paper
%1 Wang/2007/Multi-Concept
%A Wang, Shenghui
%A Isaac, Antoine
%A der Meij, Lourens Van
%A Schlobach, Stefan
%B Proceedings of the Workshop on Ontology Matching (OM2007) at ISWC/ASWC2007, Busan, South Korea
%D 2007
%E Shvaiko, Pavel
%E Euzenat, Jérôme
%E Giunchiglia, Fausto
%E He, Bin
%K 
%T Multi-Concept Alignment and Evaluation
%X In this paper we discuss a book annotation translation application scenario that requires multi-concept alignment - where one set of concepts is aligned to another set. Using books annotated by concepts from two vocabularies which are to be aligned, we explore two statistically-grounded measures (Jaccard and LSA) to build conversion rules which aggregate similar concepts. Different ways of learning and deploying the multi-concept alignment are evaluated, which enables us to assess the usefulness of the approach for this scenario. This usefulness is low at the moment, but the experiment has given us the opportunity to learn some important lessons.